Simplification to the maximum likelihood function in confirmatory factor analysis
Guardado en:
| 作者: | |
|---|---|
| 格式: | artículo original |
| 狀態: | Versión publicada |
| Fecha de Publicación: | 2016 |
| 實物特徵: | This paper present the process of simplification of the function maximum likelihood gradient, used in the estimation of confirmatory factor analysis. The gradient obtained is presented infunction of CFA tradition al matrix: Λ, Φ y Θε (regression coefficients, variances of latent variables and error variances). This simplification was performed using matrices derivation laws and yielded an expression for the gradient easy for programing. |
| País: | Portal de Revistas UCR |
| 機構: | Universidad de Costa Rica |
| Repositorio: | Portal de Revistas UCR |
| 語言: | Español |
| OAI Identifier: | oai:portal.ucr.ac.cr:article/25283 |
| 在線閱讀: | https://revistas.ucr.ac.cr/index.php/matematica/article/view/25283 |
| Palabra clave: | gradient maximum likelihood function confirmatory factor analysis matrices derivation gradiente función de máxima verosimilitud análisis factorial confirmatorio derivación de matrices |